Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DD2997261146A370293C1C6B361672EB2E3438FE7860516A2FD47AD0BF7D24EE67319 |
|
CONTENT
ssdeep
|
768:meSrM/UW6v0s5GZx+kITk7sOy2+y9BH4crIe:QVb5mLITk7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3079434bd34e5a6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4c8ccc0c8cc8c00 |
|
VISUAL
wHash
|
027c74302064ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
8c0c808158d88000,d4c8ccc8c0c8cc8c |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.